Zhaopeng Meng | DeepAI

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Featured Co-authors

Yang Liu
344 publications
Li Wang
151 publications
Peng Liu
107 publications
Zhen Wang
95 publications
Yi Ma
93 publications
Jianye Hao
82 publications
Qi Chen
65 publications
Kai Zhao
53 publications
Changjie Fan
44 publications
Yan Zheng
41 publications
Guangyong Chen
33 publications

∙ 06/12/2023

Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration

Offline reinforcement learning (RL) is a learning paradigm where an agen...

0 Kai Zhao, et al. ∙

∙ 06/10/2023

HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach

Offline reinforcement learning (ORL) has gained attention as a means of ...

0 Shixi Lian, et al. ∙

∙ 06/09/2023

In-Sample Policy Iteration for Offline Reinforcement Learning

Offline reinforcement learning (RL) seeks to derive an effective control...

0 Xiaohan Hu, et al. ∙

∙ 10/26/2022

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

Deep Reinforcement Learning (Deep RL) and Evolutionary Algorithm (EA) ar...

0 Pengyi Li, et al. ∙

∙ 04/06/2022

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations

Deep Reinforcement Learning (DRL) has been a promising solution to many ...

0 Tong Sang, et al. ∙

∙ 11/19/2021

Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning

Value estimation is one key problem in Reinforcement Learning. Albeit ma...

0 Tong Sang, et al. ∙

∙ 09/14/2021

Exploration in Deep Reinforcement Learning: A Comprehensive Survey

Deep Reinforcement Learning (DRL) and Deep Multi-agent Reinforcement Lea...

10 Tianpei Yang, et al. ∙

∙ 09/12/2021

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

Discrete-continuous hybrid action space is a natural setting in many pra...

0 Boyan Li, et al. ∙

∙ 04/20/2021

Free-form tumor synthesis in computed tomography images via richer generative adversarial network

The insufficiency of annotated medical imaging scans for cancer makes it...

7 Qiangguo Jin, et al. ∙

∙ 04/20/2021

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

The capability of generalization to unseen domains is crucial for deep l...

0 Qiangguo Jin, et al. ∙

∙ 05/14/2020

Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management

With the increasing popularity of electric vehicles, distributed energy ...

3 Jianwen Sun, et al. ∙

∙ 02/19/2020

Efficient Deep Reinforcement Learning through Policy Transfer

Transfer Learning (TL) has shown great potential to accelerate Reinforce...

0 Tianpei Yang, et al. ∙

∙ 02/19/2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework

Transfer Learning has shown great potential to enhance the single-agent ...

0 Tianpei Yang, et al. ∙

∙ 05/27/2019

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction

Value functions are crucial for model-free Reinforcement Learning (RL) t...

0 Hongyao Tang, et al. ∙

∙ 11/04/2018

RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

Automatic extraction of liver and tumor from CT volumes is a challenging...

0 Qiangguo Jin, et al. ∙

∙ 11/03/2018

DUNet: A deformable network for retinal vessel segmentation

Automatic segmentation of retinal vessels in fundus images plays an impo...

0 Qiangguo Jin, et al. ∙

∙ 09/12/2018

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents

Multiagent algorithms often aim to accurately predict the behaviors of o...

0 Tianpei Yang, et al. ∙

∙ 03/08/2018

Hierarchical Heuristic Learning towards Effcient Norm Emergence

Social norms serve as an important mechanism to regulate the behaviors o...

0 Tianpei Yang, et al. ∙

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